Brief History of Language:
Language itself has been around for tens of thousands of years, and it is still a mystery how language itself developed in early humans.
Regardless, the language we speak and the concept of language are not something we look into, and take for granted most of the time because it is so natural to us.
Even when you interview people in the general population, and ask them: “What are some topics of science?” Most people reply with the usual suspects: chemistry, physics, and mathematics.
Nearly no one seems to think that linguistics is a scientific discipline because we use it every day, and not like physics or chemistry: We use language, and we know that we use language.
Language also shows intelligence, it is a known fact that people with higher intelligence have better use of their language skills, and every expert recommends that you should sharpen your speaking and writing skills to become a more successful person.
It is also said that learning a new language increases intelligence and opens up a whole new world for people; learning a language provides you access to more
information and connections with more people in the world.
Understanding more and more languages means an increased number of opportunities. However, while all of these are true for humans, what about machines?
Technology and AI:
The technological advances that the world has seen over the last 75 to 80 years are far more impressive than what humans have done for thousands of years.
Of course, the pyramids are cool, and they have a lot of mystery, but we have ships that are bigger than pyramids roaming the oceans, operated by supercomputers that can put all of history’s biggest scientists to shame.
One of the most important technological advances the world has ever seen is probably the creation of Artificial Intelligence, mostly known as AI. Do not be scared, however, the world is not going to become a post-apocalyptic place where Terminators that are controlled by Skynet hunt humans down just because we have developed AI.
You have actually been using AI without even noticing. If you have a smartphone or a computer, you use Artificial Intelligence every single day with face unlock features, voice assistants, Google searches, grammar-checking apps, social media, and many other places.
Additionally, engineers and scientists are currently working to develop Artificial Intelligence to integrate it more with our daily lives.
What Is Natural Language Processing?
As we have said at the beginning of this article, language is something unique to humans and no other species have more developed language skills than us. However, machines are starting to catch on.
That is what scientists and engineers have been trying to develop for some years now. They have realised that if they get the Artificial Intelligence program to understand people’s natural intonations and speech patterns, the program can develop more quickly, and it would have lots of benefits from real-time captions for hearing-impaired people to translation and interpretation.
But, what even is this technology?
This technology is called Natural Language Processing, or NLP, for short. Not to be confused with Neuro-Linguistic Programming which has gained popularity in recent years, Natural Language Processing is a discipline of computer science, which connects with AI technology.
This discipline aims to teach Artificial Intelligence to understand a written text or spoken words in the same way that human beings can. According to the computer giant IBM, “NLP drives computer programs that translate text from one language to another, respond to spoken commands, and summarize large volumes of text rapidly—even in real-time.
There’s a good chance you’ve interacted with NLP in the form of voice-operated GPS systems, digital assistants, speech-to-text dictation software, customer service chatbots, and other consumer conveniences.
But NLP also plays a growing role in enterprise solutions that help streamline business operations, increase employee productivity, and simplify mission-critical business processes.”
Developers of NLP work on speech recognition, grammatical tagging, which is the process of understanding a grammatical context, and many other things regarding the use of natural language between humans.
However, the program does not just recognize or listen: It talks as well. Computer scientists also use NLP for natural language generation, which is forming natural-sounding words and phrases, mostly used in speech-to-text applications.
Of course, there is still quite some time until we can talk to a machine like we are talking to another human being, however, there are some impressive applications of natural language generation in chatbots that can understand and generate texts.
Ties Between NLP and AI Content Creation
While this information is really good, how does this tie in with Artificial Intelligence Content Creation? To understand this better, we should first understand what AI Content Creation is.
In essence, AI Content Creation is having software produce the material for you. It can create blog articles, social media text, ebooks, landing sites, emails, product listings, and anything else in between.
There is even a move toward creating audio and video content. The instruments in question provide access to a wide range of talents. Some are adept at automating the creation of blog articles with the push of a button, while others excel at writing email subject lines that get read.
So what does this mean?
Does this mean that Artificial Intelligence creates this blog post you are reading right now? Or will it be able to be created by AI?
The answer is both yes and no. Artificial Intelligence is something that learns exactly like a baby. It sees, does, and practices until it gets it right.
This means some time in the future, AI Content Creation will be able to write blog posts just like this; however, it will need to be able to study other blog posts for a long period.
Bonus Tip: There’s a way to detect if a piece of content is being generated by an AI Content Creation tool. Originality.ai is a unique Plagiarism Checker and AI content Detector tool built by a team of content marketing and GPT-3 AI experts. A study reflects that the Originality AI was 94% successful in detecting if the content that was produced by the latest ChatGPT, GPT-3 AI content creation modules.
That way, the program can have the ability to produce different content, whether it is written or spoken. However, this means the AI has to understand and be able to read blog posts on many different topics.
But how?
This is where Natuıre Language Processing comes into play. NLP is not just a gimmick that computer scientists teach so they can develop cool voice assistants.
The end goal is to teach an AI how to write and articulate itself to the point where when you upload a piece of knowledge to the program, it should be able to write a research paper about it.
Additionally, this ability for content creation is not just for blog posts or social media content.
Scientists believe that the improvement of AI Content Creation and NLP will help eliminate the need for jobs requiring one-on-one contact, such as customer service agents, meaning a normal customer will be able to talk to an AI program and feel like they are talking to a person.
The tech giant Google has premiered this feature 4 years ago when they made an Artificial Intelligence program make a phone call to have a reservation from a restaurant, and the results were amazing.
Of course, some people speculated this, stating that they should be notified when talking with an AI because it was nearly impossible to understand the difference, however, Google showcased this feature only to show people how far they have come with Natural Language Processing.
It was a cool party trick on Google’s part, but it opened up a whole new world for computer science and linguistics.
Since then, the research on NLP and AI Content Creation has gone up a lot, and we have started to see many different applications of AI Content Creation using NLP, such as AI programs writing paragraphs, weekly work schedules, letters, and even screenplays where two people are talking to each other.
This is especially a good improvement when it comes to written text because AI learns faster with text than with speech, and as there are no accents in written text, it is easier to communicate with an AI through written words.
This of course means that the program will learn to read and write faster and will start to create written content faster than spoken ones.
Is It Really That Developed?
In conclusion, a computer learning how to talk and write like a human is a fascinating concept, and it is not a thing for science-fiction books anymore.
We see real-world applications of Natural Language Processing and AI Content Creation nearly every day, and as the research improves, the programs improve with it.
Still, it would not be true if we say that this technological revolution in content creation will happen in the next year because if you research the written content that AI created, you can see that most of these creations are quite funny and outright horrible, but it shows that the programs have started to learn: The baby has started to at least crawl, and it is not long before it starts to walk, maybe even run.
Also Read:
